Papers
48
Total Citations
2,075
H-Index
17
About
Alberto Quattrini Li is a prominent robotics researcher whose work spans underwater robotics, multi-robot systems, and state estimation — fields where his contributions have meaningfully advanced both theory and practice. He is perhaps best known for his pioneering work in underwater perception and SLAM (Simultaneous Localization and Mapping), most notably through SVIn2, a tightly-coupled multi-sensor fusion system that integrates sonar, visual, inertial, and pressure data for robust underwater navigation. His 2019 IROS work on visual-inertial state estimation in underwater environments has garnered over 1,000 citations, highlighting a critical gap in how existing algorithms perform outside controlled indoor and urban settings. Beyond underwater robotics, Quattrini Li has made significant contributions to coordinated multi-robot exploration, developing strategies that account for real-world communication constraints such as recurrent connectivity. His research on heterogeneous robot teams for strategic water sampling demonstrates a commitment to socially impactful applications, including environmental monitoring and search and rescue. With a publication record reflecting consistent influence across underwater autonomy, multi-robot coordination, and sensor fusion, Quattrini Li stands as a leading voice shaping the future of field robotics in challenging, unstructured environments.
Research Focus
Key Achievements
Top Papers
- 12019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)1,079 citations · 2019
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- 3SVIn2: A multi-sensor fusion-based underwater SLAM system93 citations · 2022
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- 7Underwater cave mapping using stereo vision58 citations · 2017
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- 9Exploration and Mapping with Groups of Robots: Recent Trends48 citations · 2020
- 10Asynchronous multirobot exploration under recurrent connectivity constraints35 citations · 2016